<p>Tag-to-sample file (CSV)</p>
<input type="text" name="tags" class="input_file csv tags" />
<br>

<p>Forward reads (oriented and primer trimmed fastq)</p>
<input type="text" name="fwd" class='input_file fastq agregate'>

<p>Reverse reads (oriented and primer trimmed fastq)</p>
<input type="text" name="rev" class='input_file fastq agregate'>


<p>Do we make an error model for each library or for each sample?</p>
<input type="radio" name="by_lib" value="true" class="param_value dada2_lib" checked>for each library<br>
<input type="radio" name="by_lib" value="false" class="param_value dada2_lib">for each sample
<br>
<br>
<p>Do we (pseudo) pool samples of each library to perform the ASV inference? (only if error model by library)</p>
<input type="radio" name="pool" value="false" class="param_value dada2_pool" checked>no pool<br>
<input type="radio" name="pool" value="pseudo" class="param_value dada2_pool">pseudo-pool<br>
<input type="radio" name="pool" value="true" class="param_value dada2_pool">pool<br>
<br>

<br>
<p>ASV table</p>
<span class="output_zone">
<input type="text" name="asvs_tab" value="asvs-table.tsv" />
<a href="" download><img src="/imgs/download.png" class="download"/></a>
</span>

<p>ASVs sequences (Amplicon Sequence Variants)</p>
<span class="output_zone">
<input type="text" name="asvs_seq" value="representative-asvs.fasta" />
<a href="" download><img src="/imgs/download.png" class="download"/></a>
</span>

<p>Filtering statistics per sample</p>
<span class="output_zone">
<input type="text" name="filter_stat" value="filtering-stats.tsv" />
<a href="" download><img src="/imgs/download.png" class="download"/></a>
</span>





</div>
